Lee, E, Y.-W. Young, Y.-H. Jung, and J. Kam, 2025, Explainable AI-based Risk Assessment of Pluvial Floods over South Korea, J. Environ. Manag., 385, 125640. https://doi.org/10.1016/j.jenvman.2025.125640
Ahmad, D. M. and J. Kam, 2024, Disparity between global drought hazard and awareness, npj Clean Water, 7, 75. https://doi.org/10.1038/s41545-024-00373-y
Kam, J., S.-K. Min, B.-H. Kim, Y.-H. Kim, L. B. Diaz, J.-S. Kug, R. Park, 2024, Climate Models Indicate Compensating Effects between Anthropogenic Greenhouse Gases and Aerosols on the 2022 Central Andes Spring Drought, Bull. Amer. Meteor. Soc., 105, E825
Choi, S., K.-H. Lee, J.-H. Park, S. Jeon, H. J. Lee, P.-G. Kang, J. Kam, 2024, Reliable AI models can reveal key processes of heat recovery steam generator operation in air pollutant emission, J. Clean. Prod., 438, 140806. https://doi.org/10.1016/j.jclepr
Song, J.**, K. Jeong, and J. Kam*, 2023, Evidence of the time-varying impacts of the COVID-19 pandemic on online search activities relating to shopping items in South Korea, Humanit. Soc. Sci. Commun. (Springer Nature), 100, 669. https://doi.org/10.1057/s